Wenjie Feng

Visual Domain Adaptation with Manifold Embedded Distribution Alignment

2018 · arXiv (Cornell University)

Visual domain adaptation aims to learn robust classifiers for the target domain by leveraging knowledge from a source domain. Existing methods either attempt to align the cross-domain distributions, or perform manifold subspace learning. However, there …

Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering

2023 · arXiv (Cornell University)

Proposing an effective and flexible matrix to represent a graph is a fundamental challenge that has been explored from multiple perspectives, e.g., filtering in Graph Fourier Transforms. In this work, we develop a novel and …